{"id":"W6982271325","doi":"","title":"How Labour Market Works in Damai Central: Peak and Off-Peak","year":2015,"lang":"id","type":"other","venue":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006281285,0.0001591715,0.0002044244,0.000790963,0.003809541,0.004100673,0.0008758178,0.0006365858,0.01698427],"category_scores_gemma":[0.001329745,0.0002481267,0.0001879104,0.002046436,0.002682365,0.002095734,0.003665402,0.0008357163,0.001032695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006809769,"about_ca_system_score_gemma":0.008229965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1718205,"about_ca_topic_score_gemma":0.4136439,"domain_scores_codex":[0.9993648,0.0001148264,0.000008419503,0.00005261914,0.00006738516,0.0003919055],"domain_scores_gemma":[0.999472,0.0001117883,0.00007045366,0.00001940123,0.00005199021,0.0002745387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000673992,0.0005951595,0.2807783,0.0005863192,0.00007234295,0.004230754,0.520815,0.001688014,0.004676237,0.07871725,0.02872569,0.07844085],"study_design_scores_gemma":[0.00001918075,0.00007973008,0.4227995,0.0001744655,0.0000224556,0.0001554864,0.503994,0.0007323127,0.0005237733,0.004514413,0.06695107,0.00003363149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599426,0.0003106754,0.0001173831,0.002730335,0.00002604328,0.00002288289,0.0002801268,0.00001917213,0.03655074],"genre_scores_gemma":[0.9902986,0.00021134,0.00007924343,0.0001316068,0.000004835485,0.00001904663,0.00008287852,0.00001288982,0.009159619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1718205,"threshold_uncertainty_score":0.3416408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157674225035823,"score_gpt":0.2110835398241817,"score_spread":0.1995067975738235,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}